Sergei V. Pereverzyev

According to our database, Sergei V. Pereverzyev authored at least 53 papers between 1992 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Two-layer networks with the ReLU^k activation function: Barron spaces and derivative approximation.

Yuanyuan Li, Shuai Lu, Peter Mathé, Sergei V. Pereverzev

Numerische Mathematik, February, 2024

On regularized polynomial functional regression.

Markus Holzleitner, Sergei V. Pereverzyev

J. Complex., 2024

Multiparameter regularization and aggregation in the context of polynomial functional regression.

Elke Ruth Gizewski, Markus Holzleitner, Lukas Mayer-Suess, Sergiy Pereverzyev Jr., Sergei V. Pereverzyev

CoRR, 2024

2023

Adaptive Learning of Density Ratios in RKHS.

Werner Zellinger, Stefan Kindermann, Sergei V. Pereverzyev

J. Mach. Learn. Res., 2023

On regularized Radon-Nikodym differentiation.

Duc Hoan Nguyen, Werner Zellinger, Sergei V. Pereverzyev

CoRR, 2023

General regularization in covariate shift adaptation.

Hoan Duc Nguyen, Sergei V. Pereverzyev, Werner Zellinger

CoRR, 2023

Domain Generalization by Functional Regression.

Markus Holzleitner, Sergei V. Pereverzyev, Werner Zellinger

CoRR, 2023

Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation.

Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck, Hoan Duc Nguyen, Andrea Huber, Hamid Eghbal-zadeh, Bernhard Alois Moser, Sergei V. Pereverzyev, Sepp Hochreiter, Werner Zellinger

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

A Function Approximation Approach to the Prediction of Blood Glucose Levels.

Hrushikesh N. Mhaskar, Sergei V. Pereverzyev, Maria D. van der Walt

Frontiers Appl. Math. Stat., 2021

The balancing principle for parameter choice in distance-regularized domain adaptation.

Werner Zellinger, Natalia Shepeleva, Marius-Constantin Dinu, Hamid Eghbal-zadeh, Hoan Duc Nguyen, Bernhard Nessler, Sergei V. Pereverzyev, Bernhard Alois Moser

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Regularized Collocation in Distribution of Diffusion Times Applied to Electrochemical Impedance Spectroscopy.

Sergei V. Pereverzev, Sergei G. Solodky, Vitalii B. Vasylyk, Mark Zic

Comput. Methods Appl. Math., 2020

2019

Data Based Construction of Kernels for Semi-Supervised Learning With Less Labels.

Hrushikesh N. Mhaskar, Sergei V. Pereverzyev, Vasyl Yu. Semenov, Evgeniya V. Semenova

Frontiers Appl. Math. Stat., 2019

2017

Complexity of linear ill-posed problems in Hilbert space.

Peter Mathé, Sergei V. Pereverzev

J. Complex., 2017

Regularization by the Linear Functional Strategy with Multiple Kernels.

Sergei V. Pereverzyev, Pavlo Tkachenko

Frontiers Appl. Math. Stat., 2017

A Deep Learning Approach to Diabetic Blood Glucose Prediction.

Hrushikesh N. Mhaskar, Sergei V. Pereverzyev, Maria D. van der Walt

Frontiers Appl. Math. Stat., 2017

Application of regularized ranking and collaborative filtering in predictive alarm algorithm for nocturnal hypoglycemia prevention.

Galyna Kriukova, Nadiya Shvai, Sergei V. Pereverzyev

Proceedings of the 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2017

2016

A linear functional strategy for regularized ranking.

Galyna Kriukova, Oleksandra Panasiuk, Sergei V. Pereverzyev, Pavlo Tkachenko

Neural Networks, 2016

On the convergence rate and some applications of regularized ranking algorithms.

Galyna Kriukova, Sergei V. Pereverzyev, Pavlo Tkachenko

J. Complex., 2016

Prediction of nocturnal hypoglycemia by an aggregation of previously known prediction approaches: proof of concept for clinical application.

Pavlo Tkachenko, Galyna Kriukova, Marharyta Aleksandrova, Oleg Chertov, Eric Renard, Sergei V. Pereverzyev

Comput. Methods Programs Biomed., 2016

Two-parameter regularization of ill-posed spherical pseudo-differential equations in the space of continuous functions.

Hui Cao, Sergei V. Pereverzyev, Ian H. Sloan, Pavlo Tkachenko

Appl. Math. Comput., 2016

2015

Parameter Choice Strategies for Least-squares Approximation of Noisy Smooth Functions on the Sphere.

Sergei V. Pereverzyev, Ian H. Sloan, Pavlo Tkachenko

SIAM J. Numer. Anal., 2015

Pointwise Computation in an Ill-Posed Spherical Pseudo-Differential Equation.

Sergei V. Pereverzyev, Pavlo Tkachenko

Comput. Methods Appl. Math., 2015

2014

Parameter Choice Strategies for Multipenalty Regularization.

Massimo Fornasier, Valeriya Naumova, Sergei V. Pereverzyev

SIAM J. Numer. Anal., 2014

Discretized Tikhonov regularization for Robin boundaries localization.

Hui Cao, Sergei V. Pereverzev, Eva Sincich

Appl. Math. Comput., 2014

2013

Filtered Legendre expansion method for numerical differentiation at the boundary point with application to blood glucose predictions.

Hrushikesh Narhar Mhaskar, Valeriya Naumova, Sergei V. Pereverzyev

Appl. Math. Comput., 2013

2012

A meta-learning approach to the regularized learning - Case study: Blood glucose prediction.

Valeriya Naumova, Sergei V. Pereverzyev, Sivananthan Sivananthan

Neural Networks, 2012

Adaptive parameter choice for one-sided finite difference schemes and its application in diabetes technology.

Valeriya Naumova, Sergei V. Pereverzyev, Sivananthan Sivananthan

J. Complex., 2012

2011

Multi-parameter regularization and its numerical realization.

Shuai Lu, Sergei V. Pereverzev

Numerische Mathematik, 2011

Reading blood glucose from subcutaneous electric current by means of a regularization in variable Reproducing Kernel Hilbert Spaces.

Valeriya Naumova, Sergei V. Pereverzyev, Sivananthan Sampath

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010

Adaptive Kernel Methods Using the Balancing Principle.

Ernesto De Vito, Sergei V. Pereverzyev, Lorenzo Rosasco

Found. Comput. Math., 2010

2009

Regularized Total Least Squares: Computational Aspects and Error Bounds.

Shuai Lu, Sergei V. Pereverzev, Ulrich Tautenhahn

SIAM J. Matrix Anal. Appl., 2009

Sparse recovery by the standard Tikhonov method.

Shuai Lu, Sergei V. Pereverzev

Numerische Mathematik, 2009

The use of higher order finite difference schemes is not dangerous.

Peter Mathé, Sergei V. Pereverzev

J. Complex., 2009

2007

On the balancing principle for some problems of Numerical Analysis.

Raytcho D. Lazarov, Shuai Lu, Sergei V. Pereverzev

Numerische Mathematik, 2007

Regularized collocation method for Fredholm integral equations of the first kind.

M. Thamban Nair, Sergei V. Pereverzev

J. Complex., 2007

On regularization algorithms in learning theory.

Frank Bauer, Sergei V. Pereverzev, Lorenzo Rosasco

J. Complex., 2007

2006

Regularization of some linear ill-posed problems with discretized random noisy data.

Peter Mathé, Sergei V. Pereverzev

Math. Comput., 2006

Numerical differentiation from a viewpoint of regularization theory.

Shuai Lu, Sergei V. Pereverzev

Math. Comput., 2006

The discretized discrepancy principle under general source conditions.

Peter Mathé, Sergei V. Pereverzev

J. Complex., 2006

2005

On the Adaptive Selection of the Parameter in Regularization of Ill-Posed Problems.

Sergei V. Pereverzev, Eberhard Schock

SIAM J. Numer. Anal., 2005

2003

Self-regularization by projection for noisy pseudodifferential equations of negative order.

Helmut Harbrecht, Sergei V. Pereverzev, Reinhold Schneider

Numerische Mathematik, 2003

2002

Dagstuhl 2000.

Sergei V. Pereverzev, Grzegorz W. Wasilkowski

J. Complex., 2002

Direct Estimation of Linear Functionals from Indirect Noisy Observations.

Peter Mathé, Sergei V. Pereverzev

J. Complex., 2002

Stable Summation of Orthogonal Series with Noisy Coefficients.

Peter Mathé, Sergei V. Pereverzev

J. Approx. Theory, 2002

2001

Optimal Discretization of Inverse Problems in Hilbert Scales. Regularization and Self-Regularization of Projection Methods.

Peter Mathé, Sergei V. Pereverzev

SIAM J. Numer. Anal., 2001

An adaptive discretization for Tikhonov-Phillips regularization with a posteriori parameter selection.

Peter Maaß, Sergei V. Pereverzev, Ronny Ramlau, Sergei G. Solodky

Numerische Mathematik, 2001

1999

Brakhage's Implicit Iteration Method and the Information Complexity of Equations with Operators Having Closed Range.

Sergei V. Pereverzev, Eberhard Schock

J. Complex., 1999

1996

The Minimal Radius of Galerkin Information for the Fredholm Problem of the First Kind.

Sergei V. Pereverzev, Sergei G. Solodky

J. Complex., 1996

Information Complexity of Multivariate Fredholm Integral Equations in Sobolev Classes.

Karin Frank, Stefan Heinrich, Sergei V. Pereverzev

J. Complex., 1996

Optimization of Methods for Approximate Solution of Operator Equations.

Sergei V. Pereverzev

Nova Science Publishers, ISBN: 978-1-56072-140-6, 1996

1995

Optimization of Projection Methods for Solving Ill-Posed Problems.

Sergei V. Pereverzyev

Computing, 1995

1993

On Optimization of Direct Methods of Solving Weakly Singular Integral Equations.

Sergei V. Pereverzev, Sergei G. Solodky

J. Complex., 1993

1992

Information complexity of equations of the second kind with compact operators in Hilbert space.

Sergei V. Pereverzev, Cosnazar C. Scharipov

J. Complex., 1992